Analytics Engineer - Shop Analytics (all genders)
ABOUT YOU SE & Co. KG Open At a glance
Mid-level Data Analysis & BI role at ABOUT YOU SE & Co. KG. Berlin · full-time · €60,000–€70,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after scalable data pipelines for shop performance and retail media partner reporting
- Turn stakeholder needs into automated reports, then broaden ad-platform reporting and refine revenue attribution
- Keep data quality reliable across your data assets
- Coordinate with product, technology and retail media teams on analytics work
What you bring
- At least three years in a relevant role, with strong SQL and query tuning for large datasets
- You have used data transformation tools such as dbt and modeled high-volume event and tracking data
- You understand frontend tracking and web analytics implementation, including GA4
- You can work with orchestration tools and cloud data platforms, and apply partitioning or clustering
Who this fits
This mid-level role suits someone who can turn business requests into technical solutions and move projects forward independently. It calls for close collaboration across product, technology and retail media teams. The role is based in Berlin with a hybrid setup.
From the employer
ABOUT YOU is one of Europe’s fastest growing e-commerce companies. Based in Hamburg and Berlin, we operate at the intersection of fashion and technology. Our mission is to rethink online shopping and make it personal and seamless. This takes more than good ideas. It takes people who take initiative and challenge the status quo. We believe in flat hierarchies, direct communication, and pragmatic decisions. No long approval chains. Just ownership, trust, and clear responsibility. We work hard, but we also believe in enjoying the ride together - over team lunches, afterwork drinks, company events, or a quick coffee in between meetings. If this sounds like you, ABOUT YOU could be the right place to bring in your perspective.
- Design, build, and maintain robust and scalable data pipelines enabling comprehensive shop performance and retail media partner reporting
- Design and build automated reporting solutions based on business stakeholder requirements
- Enhance revenue attribution models and expand reporting capabilities for our advertising platform
- Maintain ownership of data quality across our data assets
- Work cross-functionally with product, tech, and retail media teams
- You have at least 3 years of relevant experience
- Advanced SQL skills, including query optimization for big data environments
- Experience with data transformation tools (e.g., dbt) in big data contexts
- Data modeling expertise, with focus on creating robust, flexible models for high-volume event and tracking data
- Solid understanding of frontend tracking and web analytics implementation (e.g., GA4)
- Proficiency with data orchestration tools (such as, Dagster, Airflow) and cloud-based big data platforms (e.g., Google BigQuery, AWS Redshift)
- Experience with optimization techniques (partitioning, clustering)
- Strong ability to work independently and drive projects forward
- Excellent communication skills for collaborating with diverse stakeholders
- Problem-solving approach with attention to detail
- Ability to translate business requirements into technical solutions
- Collaborative mindset, with experience working in cross-functional teams
Nice to Have
- In-depth knowledge of BigQuery, including cost optimization techniques and complex functionalities
- Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., GitLab CI/CD, Terraform)
- Practical experience with containerization technologies (e.g., Docker)
Your perks at a glance: Visit our benefits page.
Simply apply online via our career page - we will get back to you as soon as possible!
A Place Where You Can Be You
We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.
Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.
What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.
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